How to make ChatGpt App in flutter with source code Stepwise

Creating a ChatGPT app in Flutter involves setting up a basic Flutter project, integrating with the OpenAI API, and designing a user interface that can handle chat messages. Below is a stepwise guide to help you build a basic ChatGPT app in Flutter with source code.

Step 1: Set Up Your Flutter Project

If you haven’t already, start by creating a new Flutter project.

flutter create chatgpt_app
cd chatgpt_app

Step 2: Add Necessary Dependencies

Add the http package to your pubspec.yaml file for making HTTP requests.

dependencies:
  flutter:
    sdk: flutter
  http: ^0.13.3

Run flutter pub get to install the dependencies.

Step 3: Create a Chat Screen UI

Create a new file called chat_screen.dart in the lib directory.

touch lib/chat_screen.dart

In this file, design the basic UI for the chat screen:

import 'package:flutter/material.dart';

class ChatScreen extends StatefulWidget {
  @override
  _ChatScreenState createState() => _ChatScreenState();
}

class _ChatScreenState extends State<ChatScreen> {
  final TextEditingController _controller = TextEditingController();
  final List<Map<String, String>> _messages = [];

  void _sendMessage(String message) {
    if (message.isEmpty) return;

    setState(() {
      _messages.add({"role": "user", "content": message});
      _controller.clear();
    });

    // Call the OpenAI API here and add the response to the messages
    _getResponse(message);
  }

  Future<void> _getResponse(String prompt) async {
    // Placeholder function to get a response from ChatGPT
    // You'll implement the API call in the next step
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: Text("ChatGPT"),
      ),
      body: Column(
        children: [
          Expanded(
            child: ListView.builder(
              itemCount: _messages.length,
              itemBuilder: (context, index) {
                final message = _messages[index];
                return ListTile(
                  title: Align(
                    alignment: message["role"] == "user"
                        ? Alignment.centerRight
                        : Alignment.centerLeft,
                    child: Container(
                      padding: EdgeInsets.all(10),
                      decoration: BoxDecoration(
                        color: message["role"] == "user"
                            ? Colors.blue
                            : Colors.grey.shade200,
                        borderRadius: BorderRadius.circular(10),
                      ),
                      child: Text(
                        message["content"]!,
                        style: TextStyle(color: message["role"] == "user" ? Colors.white : Colors.black),
                      ),
                    ),
                  ),
                );
              },
            ),
          ),
          Padding(
            padding: const EdgeInsets.all(8.0),
            child: Row(
              children: [
                Expanded(
                  child: TextField(
                    controller: _controller,
                    decoration: InputDecoration(
                      hintText: "Type a message...",
                      border: OutlineInputBorder(
                        borderRadius: BorderRadius.circular(12),
                      ),
                    ),
                  ),
                ),
                IconButton(
                  icon: Icon(Icons.send),
                  onPressed: () => _sendMessage(_controller.text),
                ),
              ],
            ),
          ),
        ],
      ),
    );
  }
}

Step 4: Integrate OpenAI API

To interact with ChatGPT, you’ll need to make API requests to OpenAI’s API. For this, create a new file called openai_service.dart in the lib directory.

touch lib/openai_service.dart

In this file, define the service that will handle the API requests:

import 'dart:convert';
import 'package:http/http.dart' as http;

class OpenAIService {
  final String apiKey;

  OpenAIService(this.apiKey);

  Future<String> generateResponse(String prompt) async {
    const apiUrl = 'https://api.openai.com/v1/completions';

    final response = await http.post(
      Uri.parse(apiUrl),
      headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer $apiKey',
      },
      body: jsonEncode({
        "model": "text-davinci-003",
        "prompt": prompt,
        "max_tokens": 150,
        "temperature": 0.7,
      }),
    );

    if (response.statusCode == 200) {
      final data = jsonDecode(response.body);
      return data['choices'][0]['text'].trim();
    } else {
      throw Exception('Failed to load response');
    }
  }
}

Step 5: Connect the Chat Screen to OpenAI API

Update your chat_screen.dart file to use the OpenAIService:

import 'package:flutter/material.dart';
import 'openai_service.dart';

class ChatScreen extends StatefulWidget {
  @override
  _ChatScreenState createState() => _ChatScreenState();
}

class _ChatScreenState extends State<ChatScreen> {
  final TextEditingController _controller = TextEditingController();
  final List<Map<String, String>> _messages = [];
  final OpenAIService _openAIService = OpenAIService('your-api-key-here');

  void _sendMessage(String message) {
    if (message.isEmpty) return;

    setState(() {
      _messages.add({"role": "user", "content": message});
      _controller.clear();
    });

    _getResponse(message);
  }

  Future<void> _getResponse(String prompt) async {
    try {
      final response = await _openAIService.generateResponse(prompt);

      setState(() {
        _messages.add({"role": "assistant", "content": response});
      });
    } catch (e) {
      setState(() {
        _messages.add({"role": "assistant", "content": "Error: $e"});
      });
    }
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: Text("ChatGPT"),
      ),
      body: Column(
        children: [
          Expanded(
            child: ListView.builder(
              itemCount: _messages.length,
              itemBuilder: (context, index) {
                final message = _messages[index];
                return ListTile(
                  title: Align(
                    alignment: message["role"] == "user"
                        ? Alignment.centerRight
                        : Alignment.centerLeft,
                    child: Container(
                      padding: EdgeInsets.all(10),
                      decoration: BoxDecoration(
                        color: message["role"] == "user"
                            ? Colors.blue
                            : Colors.grey.shade200,
                        borderRadius: BorderRadius.circular(10),
                      ),
                      child: Text(
                        message["content"]!,
                        style: TextStyle(color: message["role"] == "user" ? Colors.white : Colors.black),
                      ),
                    ),
                  ),
                );
              },
            ),
          ),
          Padding(
            padding: const EdgeInsets.all(8.0),
            child: Row(
              children: [
                Expanded(
                  child: TextField(
                    controller: _controller,
                    decoration: InputDecoration(
                      hintText: "Type a message...",
                      border: OutlineInputBorder(
                        borderRadius: BorderRadius.circular(12),
                      ),
                    ),
                  ),
                ),
                IconButton(
                  icon: Icon(Icons.send),
                  onPressed: () => _sendMessage(_controller.text),
                ),
              ],
            ),
          ),
        ],
      ),
    );
  }
}

Step 6: Set Up Your API Key

Replace 'your-api-key-here' with your actual OpenAI API key in the OpenAIService constructor.

Step 7: Run the App

Update your main.dart file to use the ChatScreen widget:

import 'package:flutter/material.dart';
import 'chat_screen.dart';

void main() {
  runApp(MyApp());
}

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      debugShowCheckedModeBanner: false,
      home: ChatScreen(),
    );
  }
}

Run your app:

flutter run

Step 8: Test the ChatGPT App

Once the app is running, you can type messages and interact with ChatGPT. The app will send your message to the OpenAI API and display the response in the chat UI.

Customizations

• UI Design: Customize the UI by changing colors, fonts, and other design elements.
• Message Handling: Enhance the message handling by adding features like loading indicators or error handling.
• API Features: Explore other features of the OpenAI API, like adjusting the max_tokens, temperature, or using different models.

This guide provides a basic implementation of a ChatGPT app in Flutter, which you can expand and customize based on your needs.

Output

Here is the image of the ChatGPT app’s chat interface as described in the code.

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